Data Analytics

Reinvigorate Your Data Analytics Team with Serverless Computing

By |2018-02-16T14:17:49+00:00February 14, 2018|Categories: Data & Analytics, Fusion Blog|Tags: , , |

What is serverless computing? The funny thing about “serverless computing” is that in reality, it still requires servers. The name serverless computing is used because the server management and capacity planning decisions are completely hidden from the developer or operator. Sometimes referred to as “Function-as-a-Service” (FaaS), serverless computing is the concept of [...]

Is Machine Learning Right for Your Business Challenges?

By |2018-02-13T14:22:55+00:00February 5, 2018|Categories: White Papers|Tags: , , , |

One Size Does Not Fit All  Along with crypto assets (think bitcoin and blockchain), machine learning (ML) is currently among the hottest technology topics. However, this isn’t the first time that we’ve heard this tune as there have been numerous peaks and valleys in ML interest over the past 30 or so years as [...]

AAA

By |2018-01-16T11:32:46+00:00January 16, 2018|Categories: Case Studies, Data & Analytics|Tags: , |

Maven Wave developed an end-to-end data warehousing solution within Google Cloud Platform to provide integrated data and analytical reports for membership, membership behavior, and service interactions.  This solution allows AAA Mountain West Group to quickly analyze data to make more informed business decisions.

Data is Your Competitor’s Secret Weapon

By |2017-11-06T14:43:39+00:00November 6, 2017|Categories: Data & Analytics, White Papers|Tags: , , |

Can you guess the year? The first web browser is available to the public A gallon of gasoline was $1.05 Motorola manufacturers the first digital hand-size mobile phone Microsoft Windows 3.1 was announced Johnny Carson hosts his final Tonight Show Father of Data Warehousing, Bill Inmon publishes “Building the Data Warehouse” Answer: The year [...]

Ask The Expert: Data Analytics

By |2017-09-01T10:36:00+00:00July 11, 2017|Categories: Data & Analytics, Fusion Blog|Tags: , , , , |

In today’s market, data analytics play a large role in the success of an organization. Analyzing data leads organizations to uncover insights to make more intuitive business decisions. In the age of digital transformation, utilizing analytics within your business is a necessity to stay competitive. In this Ask the Expert interview, we sat down [...]

Bio-IT World Wrap Up: The Intersection of Cloud, Data, Knowledge, and Analytics

By |2018-03-21T08:00:43+00:00July 10, 2017|Categories: Cloud & Machine Learning, Data & Analytics, Fusion Blog|Tags: , , , |

Maven Wave recently attended and sponsored the 15th annual Bio-IT World Conference in Boston. The conference brought together over 3,400 attendees from across the world to share best practices, innovation initiatives, and digital journeys within the pharmaceutical industry. This year, Bio-IT World focused on topics such as cloud computing, data integration, knowledge management, and informatics— the [...]

Ask the Expert: Google Cloud Platform

By |2017-09-01T10:41:59+00:00January 27, 2017|Categories: Cloud & Machine Learning, Fusion Blog|Tags: , , , , , |

With the Google Cloud Platform, companies can quickly and cost-effectively keep up with the pace of today’s digital transformation. The Google Cloud Platform allows businesses to build and run applications, and store and analyze data, all on Google’s Cloud. Google has made major investments to meet the demands of the enterprise market and have [...]

Has Spark Become a Five Alarm Fire?

By |2018-03-21T07:55:27+00:00January 26, 2016|Categories: Data & Analytics, Fusion Blog|Tags: , , , , |

There are new technologies popping up daily in the world of Big Data. It’s impossible to keep up with them all and it’s even more challenging to predict the winners and losers. However, an influential player in 2015 was Apache Spark, which is fast and general engine for large-scale data processing. Interest in this [...]

Is Hadoop Worth the Hype?

By |2016-12-06T15:47:50+00:00October 21, 2015|Categories: Fusion Blog|Tags: , , , , , |

Hadoop is all the rage right now. In my 20 years in IT, I have never seen so many people enamoured with something that most of them don’t understand. I equate it to a situation where there is a line full of people waiting for a free give-away. Countless others will join the line without [...]

Big Data Diamonds – Sustainability and Growth

By |2016-12-06T15:47:51+00:00July 24, 2015|Categories: Fusion Blog|Tags: , , , , , |

Now that we’ve discussed the full lifecycle for implementing data analytics capabilities and deriving insight, how does one sustain it going forward? In the past we participated in data warehousing or data analytics projects that were seemingly successful and received positive reviews when completed. However, when we touched base with the team a year later [...]

Can IT Survive the Citizen Analytics Revolution?

By |2016-12-06T15:47:51+00:00July 20, 2015|Categories: White Papers|Tags: , , , , , |

The Revolution At the end of 2007 classic, Competing on Analytics, Tom Davenport predicted the rise of “analytical amateurs,” where the enterprise extends its frontline data analytics capabilities across the organization in its effort to become a data-driven enterprise. That transformation would be done largely without assistance from traditional information technology department capabilities and processes. [...]

Big Data Diamonds – Agile Implementation

By |2016-12-06T15:47:52+00:00July 17, 2015|Categories: Fusion Blog|Tags: , , , , , , |

Last week, we introduced the assessment criteria for selecting the right tools for your big data platform. This week in the Big Data Diamonds series, we fill focus on using Agile implementation and methodology to continuously drive value and insight.  Maven Wave employs the Agile methodology for delivering solutions to our clients and the incremental and iterative [...]

Big Data Diamonds – Selecting the Right Big Data Tools

By |2016-12-06T15:47:52+00:00July 10, 2015|Categories: Fusion Blog|Tags: , , , , |

Now that you have identified the components required to define your big data architecture (as discussed in last week's Big Data Diamonds blog post), we will introduce the assessment criteria for selecting the right big data tools.  Selecting the right tools for your big data platform is not as easy as selecting the best application on [...]

Big Data Diamonds – Defining the Big Data Architecture

By |2016-12-06T15:47:52+00:00July 2, 2015|Categories: Fusion Blog|Tags: , , , , |

In last week's Big Data Diamonds blog post, we discussed the importance of assessing your data to ensure that you understand it. This week we are introducing the components required to define the big data architecture. Once you understand the data and business objectives, you are equipped with the inputs necessary to define a robust architecture. [...]

Big Data Diamonds – Understand the Data

By |2016-12-06T15:47:52+00:00June 25, 2015|Categories: Fusion Blog|Tags: , , , |

In our last Big Data Diamonds blog post, we discussed the importance of building a team with the right skill sets. Now that you have the right big data team in place, it's important to assess your data to ensure you really understand it.  A fundamental mistake many companies make is to define a big [...]

Building the Right Big Data Team

By |2016-12-06T15:47:52+00:00June 18, 2015|Categories: Fusion Blog|Tags: , , , , |

Most great accomplishments are not delivered by great ideas alone. It takes a team with the right skills to deliver a quality result. The same holds true when delivering a big data project. In our last Data Diamonds blog post, we talked about starting any big data project with a well-defined purpose and the importance of [...]

Big Data Diamonds – Defining Insight Objectives

By |2016-12-06T15:47:52+00:00May 18, 2015|Categories: Fusion Blog|Tags: , , , , |

When getting started with a big data project, it’s easy to be enamored with the multitude of cutting-edge technologies on the market and start purchasing tools that will promise to solve all of your problems. The most illogical thing I’ve seen over the past year is how many companies are implementing Hadoop, but have no [...]